We propose a method to detect the existence of quantitative trait loci (QTL) in a backcross population using a score test. Since the score test only uses the MLEs of parameters under the null hypothesis, it is computationally simpler than the likelihood ratio test (LRT). Moreover, because the location parameter of the QTL is unidentifiable under the null hypothesis, the distribution of the maxi...

Since the conventional HMM (Hidden Markov Model)-based speech enhancement methods try to improve speech quality by considering all states for the state transition, hence introduce huge computational loads inappropriate to real-time implementation. In the Left-Right HMM (LR-HMM), only the current and the next states are considered for a possible state transition so to reduce the computation comp...

In this paper, we propose a novel approach to speaker verification. One of the problems in conventional speaker verificaion techniques based on the likelihood ratio test (LRT) is that the detection performance varies widely for each hypothesized speaker when the decision threshold is held fixed. In order to cope with the problem, we incorporate the distribution of the log likelihood ratio (LLR)...

Spectrum sensing is mandatory in Cognitive Radio systems, and is used in order to identify spectrum opportunities, and to guarantee that it does not cause unacceptable interference to the license owner. Since a single sensor may be in fading or shadowing, cooperative sensing among multiple sensors which experience uncorrelated fading is required to guarantee reliable sensing performance. In thi...

We propose a method to detect the existence of quantitative trait loci (QTL) in a backcross population using a score test. Since the score test only uses the MLEs of parameters under the null hypothesis, it is computationally simpler than the likelihood ratio test (LRT). Moreover, because the location parameter of the QTL is unidentifiable under the null hypothesis, the distribution of the maxi...

Large number of taxicabs in major metropolitan cities are now equipped with a GPS device. Since taxis are on the road nearly twenty four hours a day (with drivers changing shifts), they can now act as reliable sensors to monitor the behavior of traffic. In this paper we use GPS data from taxis to monitor the emergence of unexpected behavior in the Beijing metropolitan area. We adapt likelihood ...

In certain statistical process control applications, quality of a process or product can be characterized by a function commonly referred to as profile. Some of the potential applications of profile monitoring are cases where quality characteristic of interest is modelled using binary,multinomial or ordinal variables. In this paper, profiles with multinomial response are studied. For this purpo...

We propose the use of parametric bootstrap methods to investigate the finite sample distribution of the maximum likelihood estimator for the parameter vector of a stochastic mortality model. Particular emphasis is placed on the effect that the size of the underlying population has on the distribution of the MLE in finite samples, and on the dependency structure of the resulting estimator: that ...

Plausibility is a formalization of exact tests for parametric models and generalizes procedures such as Fisher's test. The resulting are based on cumulative probabilities the probability density function evaluate consistency with family while providing control $\alpha$ level finite sample size. Model comparisons inefficient in this approach. We generalize plausibility by incorporating weighing ...

Space time permutation scan statistics merupakan metode yang digunakan dalam mengidentifikasi kelompok daerah memiliki risiko tinggi ( hotspot ) atau rendah coldspot dari suatu kejadian luar biasa berdasarkan aspek ruang dan waktu. Metode ini hanya membutuhkan data kasus yaitu waktu lokasi untuk mendeteksi tanpa populasi. Pada penelitian ini, akan ditentukan pencurian motor di Kota Padang, Suma...